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The algorithms of chlorophyll-a concentration for CMODIS
作者姓名:MAO Zhihu  ZHU Qiankun  GONG Fang  PAN Delu
作者单位:MAO Zhihua1,2,ZHU Qiankun1,2,GONG Fang1,PAN Delu1,2 1. Second Institute of Oceanography,State Oceanic Administration,Hangzhou 310012,China 2. State Key Laboratory of Satellite Ocean Environment Dynamics,Hangzhou 310012,China
基金项目:国家自然科学基金 , 国家高技术研究发展计划(863计划)
摘    要:The algorithms of extracting chlorophyll-a(Chl-a) concentration have been established for Chinese moderate resolution imaging spectrometer(CMODIS) mounted on Shenzhou-3 spaceship launched on 25 March 2002.The CMODIS is an ocean color sensor with 30 visible channels and 4 infrared channels,much different from other ocean color satellites and needs new algorithms to process data.Three models of Chl-a concentration were established based on Chl-a data retrieved from sea-viewing wide field-of-view sensor(SeaWiFS),with the average relative errors of 26.6%,24%.0% and 33.5%,respectively.This practical and economic approach can be used for developing the algorithms of Chinese ocean color and temperature sensor(COCTS) on the satellite Haiyang-1 to derive the Chl-a concentration concentration distribution.The applicability of the algorithms was analyzed using some in situ measurements.Suspended sediment is the main factor influencing the accuracy of the spectral ratio algorithms of Chl-a concentration.The algorithms are suitable to using in the regions where suspended sediment concentrations(SSC) are less than 5 g/m3 under the condition of relative error of Chl-a concentration retrieval within 35%.High concentration of suspended sediment leads to the overestimate remote sensing retrieval of concentration of Chl-a,while low-middle SSCs lead to the low Chl-a concentration values using the spectral ratio algorithms.Since the accuracy of Chl-a concentration by the spectral ratio algorithms is limited to waters of Case 2,it is necessary to develop semi-analytical models to improve the performance of satellite ocean color remote sensing in turbid coastal waters.

关 键 词:叶绿素  浓度  沉淀  计算方法
收稿时间:2005/4/15 0:00:00
修稿时间:2005-04-15

The algorithms of chlorophyll-a concentration for CMODIS
MAO Zhihu,ZHU Qiankun,GONG Fang,PAN Delu.The algorithms of chlorophyll-a concentration for CMODIS[J].Acta Oceanologica Sinica,2007,26(5):25-33.
Authors:MAO Zhihu  ZHU Qiankun  GONG Fang and PAN Delu
Institution:1.Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou 310012, China2.Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
Abstract:The algorithms of extracting chlorophyll-a (Chl-a) concentration have been established for Chinese moderate resolution imaging spectrometer (CMODIS) mounted on Shenzhou-3 spaceship launched on 25 March 2002. The CMODIS is an ocean color sensor with 30 visible channels and 4 infrared channels, much different from other ocean color satellites and needs new algorithms to process data. Three models of Chl-a concentration were established based on Chl-a data retrieved from sea-viewing wide field-of-view sensor (SeaWiFS), with the average relative errors of 26.6%, 24%.0% and 33.5%, respectively. This practical and economic approach can be used for developing the algorithms of Chinese ocean color and temperature sensor (COCTS) on the satellite Haiyang-1 to derive the Chl-a concentration concentration distribution.The applicability of the algorithms was analyzed using some in situ measurements. Suspended sediment is the main factor influencing the accuracy of the spectral ratio algorithms of Chl-a concentration. The algorithms are suitable to using in the regions where suspended sediment concentrations (SSC) are less than 5 g/m3 under the condition of relative error of Chl-a concentration retrieval within 35%. High concentration of suspended sediment leads to the overestimate remote sensing retrieval of concentration of Chl-a, while low-middle SSCs lead to the low Chl-a concentration values using the spectral ratio algorithms. Since the accuracy of Chl-a concentration by the spectral ratio algorithms is limited to waters of Case 2, it is necessary to develop semi-analytical models to improve the performance of satellite ocean color remote sensing in turbid coastal waters.
Keywords:CMODIS  chlorophyll-a concentration  suspended sediment concentration
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